COCOMO
Duration: 7 min
This video lesson is available to enrolled students.
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This educational video provides a comprehensive overview of the COCOMO (Constructive Cost Model) software cost estimation methodology. The lecture begins by introducing the Basic COCOMO model, which is a simple, static model that estimates project effort and duration based on the size of the software, measured in thousands of lines of code (KLOC). It highlights that this model uses three modes—Organic, Semi-Detached, and Embedded—to account for different project complexities. The video then transitions to the Intermediate COCOMO model, which refines the basic model by incorporating 15 cost drivers that consider factors like product attributes, hardware constraints, and team attributes. The core of the lesson is a detailed, worked example using the Basic COCOMO formulas. A table of coefficients for the three modes is presented, and the instructor demonstrates the calculation of effort (in Person-Months, PM), duration (in months, M), and team size for a 20KLOC software project. The calculations are shown step-by-step, using the formula DE = a_b * (KLOC)^b_b for effort and DD = c_b * (KLOC)^d_b for duration, with the team size derived from the ratio of effort to duration. The video concludes with a summary of the results for all three modes, illustrating how project characteristics significantly impact the final estimates.
Chapters
0:00 – 2:00 00:00-02:00
The video opens with a title card for 'SOFTWARE ENGINEERING' and '#knowledgegate'. It then transitions to a slide titled 'Basic COCOMO'. The instructor, Sanchit Jain, explains that this is a simple and static cost estimation model that calculates project effort and duration based on the size of the software, measured in thousands of lines of code (KLOC). The model provides a rough order-of-magnitude estimate and uses three modes: Organic, Semi-Detached, and Embedded. The instructor is visible in a small window, and the slide is clearly displayed with bullet points defining the model.
2:00 – 5:00 02:00-05:00
The video presents a slide titled 'Intermediate COCOMO'. The instructor explains that this model is an extension of the Basic COCOMO, refining estimates by considering additional project factors such as product attributes, hardware constraints, and personnel/team attributes. It introduces 15 cost drivers to adjust the estimation, and the Effort Adjustment Factor (EAF) accounts for the influence of these drivers. The instructor continues to speak, and the slide text is clearly visible, outlining the definition and key features of the Intermediate model.
5:00 – 7:24 05:00-07:24
The video displays a slide with the 'Basic COCOMO' title and a table of coefficients for the three modes. The instructor begins a worked example for a 20KLOC software project. He shows the formulas: DE = a_b * (KLOC)^b_b for effort and DD = c_b * (KLOC)^d_b for duration. He then demonstrates the calculations for the Organic mode: DE = 2.4 * (20)^1.05 = 55.75 PM, DD = 2.5 * (20)^0.38 = 11.52 M, and Team Size = 55.75 / 11.52 = 5. The instructor proceeds to calculate the values for the Semi-Detached and Embedded modes, showing the results in a table. The final slide shows the complete table with all calculated values for effort, duration, and team size for the three modes, and the video ends with a 'THANKS FOR WATCHING' screen.
The video provides a structured, step-by-step lesson on software cost estimation using the COCOMO model. It begins with the foundational concept of the Basic COCOMO, explaining its reliance on software size (KLOC) and project mode. It then introduces the more sophisticated Intermediate COCOMO, which adds a layer of complexity by incorporating 15 cost drivers. The core of the lesson is a practical application of the Basic COCOMO formulas, where a 20KLOC project is used as a case study. The instructor methodically demonstrates the calculation of effort, duration, and team size for each of the three modes, clearly showing the formulas and the arithmetic. This progression from theory to a concrete, worked example effectively illustrates how the model's parameters lead to different project estimates, highlighting the importance of selecting the correct mode for a given project.